ZipRecruiter

Log In

1

Adf Data Science Jobs (NOW HIRING)

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Data Science - Structured Data / Text Data (NLP & GenAI) About the Role We are seeking a highly ... Proficiency in Azure cloud services (ADF, Azure ML, AKS, Databricks on Azure). * Strong ...

Noblesoft Technologies

ADF Lead

Dallas, TX · On-site

... and integrate data from various source systems into the Azure Analytics Platform using Azure ... Computer Science, Information Technology, or a related field. OTHER REQUIREMENTS (OPTIONAL ...

Ascentt

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... with Data Scientists and Analysts to enable data-driven decision-making. Responsibilities : • ... ADF) • Knowledge of Git, CI/CD pipelines, and DevOps best practices • Exposure to Delta Lake ...

Ascentt

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... Data Scientists, Analysts, and business stakeholders. Responsibilities : • Design, build, and ... ADF) • Knowledge of Git, CI/CD pipelines, and DevOps best practices • Exposure to Delta Lake ...

Vytwo Technologies Inc.

Data Scientist - INDIA

... science solutions. Responsibilities : • Build, deploy, and optimize ML models for predictive ... services (ADF, Azure ML, AKS, Databricks on Azure) • Strong understanding of ML algorithms ...

next page

Showing results 1-20

All JobsAdf Data Science Jobs

Adf Data Science information

See salary details

$24K

$117.1K

$205.5K

How much do adf data science jobs pay per year?

As of Aug 1, 2026, the average yearly pay for adf data science in the United States is $117,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $157,500.00 per year, depending on experience, location, and employer.

What types of projects do Adf Data Science professionals typically work on, and how do they collaborate with other teams?

Adf Data Science professionals often work on projects involving data analysis, predictive modeling, and developing machine learning solutions to optimize business processes or inform decision-making. They frequently collaborate with data engineers to ensure data pipelines are robust, as well as with business analysts and product managers to align technical solutions with business goals. Teamwork and cross-functional communication are essential, as many projects require input from multiple stakeholders to ensure data-driven insights are actionable and relevant.

What is an ADF Data Scientist?

An ADF Data Scientist is a professional who specializes in using Azure Data Factory (ADF) in conjunction with data science techniques to design, build, and manage data pipelines and analytics solutions. They leverage ADF for orchestrating data movement and transformation, and often integrate machine learning models to extract insights from large datasets. These data scientists typically work with cloud-based data sources, automate workflows, and ensure data quality for analytics and business intelligence tasks.

What are the key skills and qualifications needed to thrive as an ADF Data Scientist, and why are they important?

To thrive as an ADF Data Scientist, you need strong statistical analysis, programming (Python, R, or SQL), and machine learning expertise, usually supported by a degree in data science, computer science, or a related field. Experience with Azure Data Factory (ADF), cloud platforms, and data pipeline orchestration tools is highly valuable. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business decisions. These competencies ensure efficient data processing, accurate analytics, and meaningful contributions to organizational goals.
Adf Data Science jobs near you
Infographic showing various Adf Data Science job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 10% Internship, 58% As Needed, 5% Full Time, 1% Contract, and 24% Nights. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $117,121 per year, or $56.3 per hour.

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

Re-posted 5 days ago

Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.